Browsing by Issue Date, starting with "2009-10"
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- Study of the influence of patient hydration in bone ScintigraphyPublication . Ferreira, S.; Cunha, L.; Fonseca, A.; Vieira, Domingos; Lemos, Joana; Matias, M.; Osorio, S.; Soares, S.; Silva, J. A.; Amorim, M. I.; Castro, R.; Metelo, Luís FranciscoBone Scintigraphy is a noninvasive and very sensitive Nuclear Medicine diagnostic method in detecting early bone lesions. Between the important technical details to consider when dealing with patient preparation there is the hydration level.
- Motion correction software in Myocardial Perfusion Imaging: is it useful?Publication . Cunha, L.; Lamego, J.; Ferreira, S.; Lemos, Joana; Vieira, Domingos; Fonseca, A.; Pires, L.; Neves, D.; João, M. Faria; Pereira, L.; Moreira, A. S.; Metelo, Luís FranciscoMyocardial Perfusion Imaging (MPI) is a very important tool in the assessment of Coronary Artery Disease (CAD) patients and worldwide data demonstrate an increasingly wider use and clinical acceptance. Nevertheless, it is a complex process and it is quite vulnerable concerning the amount and type of possible artefacts, some of them affecting seriously the overall quality and the clinical utility of the obtained data.
- Multi-label Hierarchical Text Classification using the ACM TaxonomyPublication . Rodrigues, Fátima; Santos, António PauloMany of the works of text classification involve the attribution of each text a single class label from a predefined set of classes, usually small and flat organized (flat classification). However, there are more complex classification problems in which we can assign to each text more than one class (multi-label classification), that can be organized in a hierarchical structure (hierarchical classification) to support thematic searches by browsing topics of interests. In this paper, a problem of multi-label hierarchical text classification is presented. The experiment involves the creation of a multi-label hierarchical text collection, its pre-processing, followed by the application of different classifiers to the collection, and finally, the evaluation of the classifiers performance.